News: Newsclips

CBS News article details Fermilab's 2024 guest composer program and features comments from Prof. Abigail Vieregg on the ongoing Deep Underground Neutrino Experiment.

New data on the cosmic microwave background released from upgrade with 10 times more detectors.

Physicist Katrina Miller, SM’18, PhD’23, revived her childhood love of writing to forge a career in science journalism.

In Henry Hinds Laboratory and now the Regenstein Library, Ruth Duckworth’s murals make an art of geophysical science.

Daily Northwestern article highlights a talk on improving decision-making in AI given by Asst. Prof. Chenhao Tan.

Metal-organic framework (MOF) materials can be used in many different applications, from catalysts to energy converters.

In a NYT article, Prof. Daniel Holz says, “It’s difficult to assess what’s good news and what’s bad news, from the perspective of humanity in the next century...black hole physics is a hell of a lot easier.”

Physicists Baudouin Saintyves and Heinrich Jaeger develop a modular robot with liquid and solid properties.

Surface observations indicate that Mars’s early climate supported liquid water—rivers and lakes—for over a billion years. But like Earth, which has experienced both global ice ages and extreme heat over the past eon, Mars’s climate history may have been intermittent.

2020 PhD graduate Dixin Tang has just begun a rewarding career at UT Austin as an assistant professor of computer science. Tang took a look back at his time at UChicago, including the professors that made a lasting impact, his involvement with ChiData, and what has made all the difference in his current role.

Stuart Rowan and team developed a material called a “pluripotent plastic,” which has the ability to take on many forms.

Scientists from UChicago, Harvard, and Yale propose model that could apply across a wide range of organisms.

UChicago computer scientist Andrew Chien discusses zero-carbon cloud data centers in a Tech Times article.

Space.com article cites UChicago research finding that over 90% of cosmic rays are hydrogen nuclei, 9% are the atomic nuclei of helium, and 1% are the nuclei of heavy elements like iron.

Researchers at Pritzker Molecular Engineering, including CQE IBM postdoctoral scholar Junyu Liu of UChicago CS, and collaborators show in a new paper how incorporating quantum computing into the classical machine learning process can potentially help make machine learning more sustainable and efficient.